9 papers
Enhancing LLMs with Context-Specific Knowledge for Mitigating Misinformation in SMEs: A RAG-based Modeling and Analysis
Md. Samiul Islam, Iqbal H. Sarker, Chadni Islam +3
Large Language Models (LLMs), a part of artificial intelligence (AI), are increasingly being adopted by Small and Medium Enterprises (SMEs) to enhance question-answering capabiliti…
HySecTwin: A Knowledge-Driven Digital Twin Framework Augmented with Hybrid Reasoning for Cyber-Physical Systems
David Holmes, Ahmad Moshin, Surya Nepal +3
Existing Digital Twin (DT) approaches often lack semantic reasoning capabilities for effective cybersecurity modelling in Cyber-Physical Systems (CPS). This paper presents HySecTwi…
BRIDG-ICS: AI-Grounded Knowledge Graphs for Intelligent Threat Analytics in Industry~5.0 Cyber-Physical Systems
Padmeswari Nandiya, Ahmad Mohsin, Ahmed Ibrahim +2
Industry 5.0's increasing integration of IT and OT systems is transforming industrial operations but also expanding the cyber-physical attack surface. Industrial Control Systems (I…
SME-TEAM: Leveraging Trust and Ethics for Secure and Responsible Use of AI and LLMs in SMEs
Iqbal H. Sarker, Helge Janicke, Ahmad Mohsin +1
Artificial Intelligence (AI) and Large Language Models (LLMs) are revolutionizing today's business practices; however, their adoption within small and medium-sized enterprises (SME…
Innovating Augmented Reality Security: Recent E2E Encryption Approaches
Hamish Alsop, Leandros Maglaras, Helge Janicke +2
End-to-end encryption (E2EE) has emerged as a fundamental element of modern digital communication, protecting data from unauthorized access during transmission. By design, E2EE ens…
A Unified Framework for Human AI Collaboration in Security Operations Centers with Trusted Autonomy
Ahmad Mohsin, Helge Janicke, Ahmed Ibrahim +2
This article presents a structured framework for Human-AI collaboration in Security Operations Centers (SOCs), integrating AI autonomy, trust calibration, and Human-in-the-loop dec…